Lead Analyst - Spend Economics

Wise
London
11 months ago
Applications closed

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Senior Lead Analyst - Data Science_ UK

Infosys - Senior Lead Analyst - Data Scientist - London, UK

Infosys - Senior Lead Analyst - Data Scientist - London, UK

Analytics Specialist with Data Science

Data Scientist

Data Engineer, Data Engineer Data Analyst ETL Developer BI Developer Big Data Engineer Analytics Engineer Data Platform Engineer Cloud Data Engineer Azure Data Engineer Data Integration Specialist DataOps Engineer Data Pipeline Engineer

How youll contribute:

  • Provide datadriven insights to inform product decisions from improving inproduct flows to building card customer segmentation.

  • Partner with Product Managers Engineers Data Science and Operational teams to drive product enhancements and optimisations.

  • Design experiments to monitor the impact of new product features on risk convenience and conversion metrics.

  • Build conviction on highimpact areas and challenge them if there are faster or more effective ways to tackle the problem.

This role will give you the opportunity to:

  • Choose your path to impact we believe people are most empowered when they can act autonomously. So rather than telling you what to do youll work with your team to create a vision of your own. Of course you can always gather feedback from smart curious people across Wise but youll have the freedom to make your own calls.

  • Grow as a Product Analyst in a global team. This role will give you exposure to how we build our card product globally. 

  • The freedom to have real impact The opportunities youll identify will be key to how we impact our millions of card customers across the globe.

  • Travel when needed to our offices across the globe to connect with team members in other countries.


Qualifications :

  • Strong analytical mind and product intuition

  • Demonstrate meticulous attention to detail and a high standard of accuracy in all tasks

  • Technical skillset in advanced SQL Python BI tools

  • Experience working with technical teams (PMs engineers designers analysts finance teams)

  • Relevant experience in a datadriven and complex environment with limited guidance

  • Excellent data visualisation and presentation skills

  • Experience designing and developing Data Warehouse models and transformations preferably using DBT


Additional Information :

 Base salary of 75k 100k (based on experience)

RSUs in a growing and publicly listed company 

Work from (almost) anywhere in the world for up to 90 days a year

Flexible working youre trusted to do the right thing and be responsible

Private Medical Insurance Life Insurance

Discounted gym memberships and cycle to work scheme

A paid 6week sabbatical leave after four years 

26 weeks maternity leave at full pay

An annual selfdevelopment budget

Annual Mission Days festival

Pet friendly offices 

Lots of fun group activities like yoga running and boardgame nights 

For everyone everywhere. Were people building money without borders  without judgement or prejudice too. We believe teams are strongest when they are diverse equitable and inclusive.

Were proud to have a truly international team and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected empowered to contribute towards our mission and able to progress in their careers.

If you want to find out more about what its like to work at Wise visit Wise.Jobs.

Keep up to date with life at Wise by following us on LinkedIn and Instagram.


Remote Work :

No


Employment Type :

Fulltime


Key Skills
Law Enforcement,ABB,Marine Biology,Filing,Automobile,AV
Vacancy:1

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